Hugging Face Overview
Model Overview
AIPlans/Qwen3-HHH-Cipher-Eng is a specialized language model derived from the Qwen/Qwen3-Reranker-0.6B base model. It has undergone fine-tuning using the Transformer Reinforcement Learning (TRL) library, specifically employing a Supervised Fine-Tuning (SFT) procedure.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Instruction Following: Designed to respond to instructions and questions effectively, as demonstrated by its text generation pipeline example.
- TRL Framework: Leverages the TRL framework for its training, indicating a focus on optimizing model behavior through fine-tuning techniques.
Training Details
The model was trained using SFT, a common method for adapting pre-trained language models to specific tasks by providing examples of desired input-output pairs. The training utilized specific versions of key libraries:
- TRL: 0.18.1
- Transformers: 4.52.4
- Pytorch: 2.6.0+cu124
- Datasets: 3.6.0
- Tokenizers: 0.21.1
Use Cases
This model is suitable for applications requiring:
- Conversational AI: Generating responses in chat-like interactions.
- Creative Writing: Assisting with text completion or generating creative content.
- General Text Generation: Producing various forms of text based on given prompts or contexts.